Data Scientist - Contract

Pelmorex•Oakville, ON

2d•Hybrid

About The Position

We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is pivotal in driving data-driven decision-making across our B2C and Adtech initiatives, with occasional contributions to our B2B sector. You will be responsible for developing sophisticated models, conducting deep-dive analyses, and extracting actionable insights from complex datasets to optimize user experience and advertising performance. This is a unique opportunity to work at the intersection of consumer technology and advertising, influencing the direction of our data products under the mentorship of the Director of Data Science. We offer a collaborative environment where innovation is encouraged and data is at the heart of everything we do. The successful candidate will report directly to the Director, Data Science & Machine Learning, working closely with leadership to align data strategies with business objectives. Please note this is a contract role until March 2027 and we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville location.

Requirements

Degree in one of the STEM disciplines (preferably Master’s or PhD in Data Science, Statistics, Computer Science, or a related quantitative field but not required)
3+ years of experience in data science, specifically within B2C or Adtech environments.
Expertise in Python or R, and advanced proficiency in BigQuery for data extraction and manipulation.
Hands-on experience with Scikit-learn, TensorFlow, Numpy, Scipy or PyTorch.
Strong understanding of digital advertising metrics (CPM, CPC, ROAS) and consumer behavior modeling.
Experience with distributed computing environments (spark for example)
Skills in graphical data visualization (Matplotlib or similar)
Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background

Responsibilities

Design and implement machine learning models to improve customer acquisition, retention, and lifetime value.
Optimize ad delivery algorithms and attribution modeling to maximize ROI in the Adtech space.
Partner with Product, Marketing, and Engineering teams to define key performance indicators (KPIs) and deliver data products that solve real-world business problems.
Conduct end-to-end analysis, including data collection, cleaning, exploratory data analysis, and visualization.
Translate technical findings into compelling narratives for non-technical stakeholders.
Provide analytical support for B2B initiatives, focusing on lead scoring, churn prediction, and market segmentation as needed.
Maintain a close reporting line with the Director to ensure technical roadmaps are executed efficiently and insights are integrated into the broader FY26 data strategy.